A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method

In this paper, a three-dimensional subspace method is proposed, in which the search direction is generated by minimizing the approximation model of the objective function in a three-dimensional subspace. The approximation model of the objective function is not unique, and alternatives can be chosen...

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Main Authors: Guoxin Wang, Shengwei Yao, Mingyang Pei, Jieqiong Xu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/6/1207
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author Guoxin Wang
Shengwei Yao
Mingyang Pei
Jieqiong Xu
author_facet Guoxin Wang
Shengwei Yao
Mingyang Pei
Jieqiong Xu
author_sort Guoxin Wang
collection DOAJ
description In this paper, a three-dimensional subspace method is proposed, in which the search direction is generated by minimizing the approximation model of the objective function in a three-dimensional subspace. The approximation model of the objective function is not unique, and alternatives can be chosen between a symmetric quadratic model and a conic model by specific criteria. Moreover, the idea of a WLY conjugate gradient method is applied to characterize the change of gradient direction between adjacent iteration points. The strategy of initial stepsize and nonmonotone line search are adopted, and the global convergence of the presented algorithm is established under mild assumptions. In numerical experiments, we use a collection of 80 unconstrained optimization test problems to show the competitive performance of the presented method.
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spelling doaj.art-10f8f3d3876c437baef5f2a5ef7c5d142023-11-18T12:50:57ZengMDPI AGSymmetry2073-89942023-06-01156120710.3390/sym15061207A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient MethodGuoxin Wang0Shengwei Yao1Mingyang Pei2Jieqiong Xu3School of Mathematics and Information Science, Guangxi University, Nanning 530004, ChinaGuangxi (ASEAN) Financial Research Center, Guangxi University of Finance and Economics, Nanning 530007, ChinaSchool of Mathematics and Information Science, Guangxi University, Nanning 530004, ChinaSchool of Mathematics and Information Science, Guangxi University, Nanning 530004, ChinaIn this paper, a three-dimensional subspace method is proposed, in which the search direction is generated by minimizing the approximation model of the objective function in a three-dimensional subspace. The approximation model of the objective function is not unique, and alternatives can be chosen between a symmetric quadratic model and a conic model by specific criteria. Moreover, the idea of a WLY conjugate gradient method is applied to characterize the change of gradient direction between adjacent iteration points. The strategy of initial stepsize and nonmonotone line search are adopted, and the global convergence of the presented algorithm is established under mild assumptions. In numerical experiments, we use a collection of 80 unconstrained optimization test problems to show the competitive performance of the presented method.https://www.mdpi.com/2073-8994/15/6/1207unconstrained optimizationsubspaceconic modelglobal convergence
spellingShingle Guoxin Wang
Shengwei Yao
Mingyang Pei
Jieqiong Xu
A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
Symmetry
unconstrained optimization
subspace
conic model
global convergence
title A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
title_full A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
title_fullStr A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
title_full_unstemmed A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
title_short A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method
title_sort three dimensional subspace algorithm based on the symmetry of the approximation model and wyl conjugate gradient method
topic unconstrained optimization
subspace
conic model
global convergence
url https://www.mdpi.com/2073-8994/15/6/1207
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